Fernando E. Herrera

525 total citations
17 papers, 425 citations indexed

About

Fernando E. Herrera is a scholar working on Molecular Biology, Neurology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Fernando E. Herrera has authored 17 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Fernando E. Herrera's work include Lipid Membrane Structure and Behavior (6 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Protein Structure and Dynamics (2 papers). Fernando E. Herrera is often cited by papers focused on Lipid Membrane Structure and Behavior (6 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Protein Structure and Dynamics (2 papers). Fernando E. Herrera collaborates with scholars based in Argentina, Uruguay and Italy. Fernando E. Herrera's co-authors include Sergio Pantano, Leonardo Darré, Matías Machado, Pablo D. Dans, Stefano Gustincich, Paolo Carloni, Michele Vendruscolo, Katerina E. Paleologou, Adriana Muñoz and Adrien W. Schmid and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Fernando E. Herrera

17 papers receiving 424 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fernando E. Herrera Argentina 11 217 133 95 53 49 17 425
Alana K. Simorellis United States 9 231 1.1× 317 2.4× 191 2.0× 64 1.2× 110 2.2× 13 629
Candace M. Pfefferkorn United States 9 282 1.3× 253 1.9× 243 2.6× 33 0.6× 76 1.6× 13 554
Erik Nguyen Nielsen Denmark 13 225 1.0× 27 0.2× 126 1.3× 31 0.6× 34 0.7× 21 404
Logan S. Ahlstrom United States 11 287 1.3× 170 1.3× 116 1.2× 115 2.2× 59 1.2× 16 477
Anthony R. Braun United States 16 603 2.8× 245 1.8× 171 1.8× 22 0.4× 79 1.6× 27 877
Mamata Kombrabail India 15 536 2.5× 43 0.3× 233 2.5× 35 0.7× 91 1.9× 31 742
Jonathan Pansieri United Kingdom 12 212 1.0× 32 0.2× 181 1.9× 85 1.6× 26 0.5× 20 446
Aditya Iyer Netherlands 11 271 1.2× 256 1.9× 227 2.4× 24 0.5× 64 1.3× 15 549
Zhengjian Lv United States 15 358 1.6× 165 1.2× 287 3.0× 25 0.5× 37 0.8× 24 626
Yoav Atsmon‐Raz Israel 13 319 1.5× 69 0.5× 242 2.5× 53 1.0× 37 0.8× 23 520

Countries citing papers authored by Fernando E. Herrera

Since Specialization
Citations

This map shows the geographic impact of Fernando E. Herrera's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fernando E. Herrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando E. Herrera more than expected).

Fields of papers citing papers by Fernando E. Herrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando E. Herrera. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fernando E. Herrera. The network helps show where Fernando E. Herrera may publish in the future.

Co-authorship network of co-authors of Fernando E. Herrera

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando E. Herrera. A scholar is included among the top collaborators of Fernando E. Herrera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fernando E. Herrera. Fernando E. Herrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Herrera, Fernando E., et al.. (2024). Molecular Evolution of RAMOSA1 (RA1) in Land Plants. Biomolecules. 14(5). 550–550. 1 indexed citations
2.
Herrera, Fernando E., et al.. (2023). Characteristics of Mycobacterium tuberculosis PtpA interaction and activity on the alpha subunit of human mitochondrial trifunctional protein, a key enzyme of lipid metabolism. Frontiers in Cellular and Infection Microbiology. 13. 1095060–1095060. 2 indexed citations
3.
Herrera, Fernando E., et al.. (2023). The high identity of the Trypanosoma cruzi Group‐I of trans‐sialidases points them as promising vaccine immunogens. Proteins Structure Function and Bioinformatics. 91(10). 1444–1460. 4 indexed citations
4.
5.
Herrera, Fernando E., et al.. (2018). Human telomerase protein: Understanding how the catalytic activity is suppressed under single substitutions of some conserved residues. A computational study. Proteins Structure Function and Bioinformatics. 86(10). 1020–1036. 1 indexed citations
6.
Herrera, Fernando E., et al.. (2017). An unusual cysteine VL87 affects the antibody fragment conformations without interfering with the disulfide bond formation. Molecular Immunology. 90. 143–149. 1 indexed citations
7.
Herrera, Fernando E., Charlotte M. Sevrain, Paul‐Alain Jaffrès, et al.. (2017). Singular Interaction between an Antimetastatic Agent and the Lipid Bilayer: The Ohmline Case. ACS Omega. 2(10). 6361–6370. 19 indexed citations
8.
Arias, Diego G., Fernando E. Herrera, Claudio Prieto, et al.. (2016). Rational design of nitrofuran derivatives: Synthesis and valuation as inhibitors of Trypanosoma cruzi trypanothione reductase. European Journal of Medicinal Chemistry. 125. 1088–1097. 25 indexed citations
9.
Herrera, Fernando E., et al.. (2014). Structural Properties of CHAPS Micelles, Studied by Molecular Dynamics Simulations. The Journal of Physical Chemistry B. 118(14). 3912–3921. 15 indexed citations
10.
Herrera, Fernando E., et al.. (2012). Similar structures but different mechanisms. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(7). 1691–1697. 19 indexed citations
11.
Herrera, Fernando E., et al.. (2012). Molecular Dynamics Study of the Interaction of Arginine with Phosphatidylcholine and Phosphatidylethanolamine Bilayers. The Journal of Physical Chemistry B. 116(15). 4476–4483. 12 indexed citations
12.
Herrera, Fernando E. & Sergio Pantano. (2012). Structure and dynamics of nano-sized raft-like domains on the plasma membrane. The Journal of Chemical Physics. 136(1). 15103–15103. 14 indexed citations
13.
Latawiec, Diane, Fernando E. Herrera, Alpan Bek, et al.. (2010). Modulation of Alpha-Synuclein Aggregation by Dopamine Analogs. PLoS ONE. 5(2). e9234–e9234. 50 indexed citations
14.
Darré, Leonardo, Matías Machado, Pablo D. Dans, Fernando E. Herrera, & Sergio Pantano. (2010). Another Coarse Grain Model for Aqueous Solvation: WAT FOUR?. Journal of Chemical Theory and Computation. 6(12). 3793–3807. 106 indexed citations
15.
Herrera, Fernando E. & Sergio Pantano. (2009). Salt induced asymmetry in membrane simulations by partial restriction of ionic motion. The Journal of Chemical Physics. 130(19). 195105–195105. 15 indexed citations
16.
Herrera, Fernando E., Alessandra Chesi, Katerina E. Paleologou, et al.. (2008). Inhibition of α-Synuclein Fibrillization by Dopamine Is Mediated by Interactions with Five C-Terminal Residues and with E83 in the NAC Region. PLoS ONE. 3(10). e3394–e3394. 103 indexed citations
17.
Herrera, Fernando E., S. Zucchelli, Aneta Jezierska, et al.. (2007). On the Oligomeric State of DJ-1 Protein and Its Mutants Associated with Parkinson Disease. Journal of Biological Chemistry. 282(34). 24905–24914. 29 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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